Leiden University as well as most research funders require a data management plan (DMP) before the start of a new research project. The aim of this workshop is to help you write your DMP. We will discuss the topics that are commonly addressed in a data management plan: what kind of data will you be collecting, where will you store your data, with whom and how will you share your data, how will others be able to understand the data, and how will you preserve your data for the long term? We structure the workshop around the Leiden University Data Management Plan template, but you are also welcome to join if you use another template. 

Target group

All researchers from Leiden University wishing to write a data management plan. Please note: most faculties offer tailor-made courses for PhD candidates that may mandatory (see below).

Method & content

One session of 3 hours with presentations and activities. Participants will bring their own device to start drafting their data management plan.

Dates & registration

• 15 September 2025, 14:00-17:00 (UBL)
• 30 October 2025, 14:00-16:30 (online)
• 9 December 2025, 10:00-13:00 (UBL)

For more information and to register, click on the link.

Participants learn to manage their own data according to standard procedures and best practices common in their field of research. Depending on the domain or discipline, modules on personal data or archiving in the institutional repository may be part of the training. Participants learn how to write a data management plan (DMP), in which they describe how they handle their own research data. The course is often part of the Graduate School programme and usually has a course load of 0.5 ECTS.

Target group

These tailormade courses on data management are aimed at PhD candidates from:

• Archaeology (also open to Research Master students), through the Archon research school of archaeology.
• FGGA (information sent out by the Graduate School)
• Humanities
• Law
• Science - IBL (information sent out by the Graduate School)
• Science - LACDR
• Social and Behavioural Sciences - Institutes of Psychology and Education & Child Studies

Method & content

One to three sessions of 2 to 4 hours each with presentations and hands-on exercises. 

Dates & registration

The organising institute or faculty takes care of planning, selection and invitation of participants. They will inform participants of dates and location. The courses take place at least once a year but mostly twice a year, in autumn and spring.

Course tutors

The training is delivered by members of the CDS research data management team and the faculty/institute data steward(s).

While the academic and societal benefits of FAIR (Findable, Accessible, Interoperable, Reusable) data are becoming increasingly apparent, the very task of modelling, organising and structuring data sets in such a way that they comply with the FAIR principles is often experienced as challenging. This workshop explains the concrete steps that can be followed to enhance the FAIRness of research data. The workshop discusses the central concepts underlying linked data technology and outlines the main aspects of formats, vocabularies and storage solutions that can bolster the reusability and the transparency of data sets. During a practical section of the workshop, you will also be given the opportunity to apply the concepts that are discussed to a data set you are working on yourself. Experts on FAIR and on linked data will give you concrete advise on how to FAIRify your data.

Target group

Researchers and research support staff

Method & content

One session of 2-3 hours with presentations, live demonstrations, and hands-on exercises. Participants need to bring their own device. An online tutorial will be sent beforehand to prepare for the workshop.

Dates & registration

This workshop is offered as part of the CDS Summer Training Week in June and on demand. For any planned workshop dates, see the calendar to the right. For more information or to put in a request for a workshop, please send us an email at datamanagement@library.leidenuniv.nl.

Course tutors

 Kristina Hettne and Peter Verhaar

While the Findable, Accessible, Interoperable, Reusable (FAIR) principles have been around for a decade, it is only lately that tools and workflows for implementing them have trickled down to research communities beyond dedicated projects. In this workshop we will guide you through FAIR Implementation Profiles (FIPs) as a means for research communities to declare FAIR implementation choices (e.g. metadata standard) and show how these profiles are being used at Leiden University and beyond (e.g. European projects, funder developments).

Target group

Researchers and research support staff

Method & content

One session of 2-3 hours with presentations, live demonstrations, and hands-on exercises. Participants need to bring their own device.

Dates & registration

This workshop is offered as part of the DCC Spring Training Days (March-June), the CDS Summer Training Week in June, and on demand (also online). For any planned workshop dates, see the calendar to the right. For more information or to put in a request for a workshop, please send us an email at datamanagement@library.leidenuniv.nl.

Course tutors

Kristina Hettne and Alessa Gambardella

Depositing your research data in a data repository helps to make your data FAIR (Findable, Accessible, Interoperable, and Reusable), enhances your visibility and trustworthiness as a researcher, and allows others to build upon your work. However, it can be a challenging endeavour if you don’t know where to start. In this workshop, we consider why it is important to publish research data, what to include in a dataset, and how to deposit it. We give an overview of various research data repositories and highlight differences between them that you can consider when choosing a repository that fits your research data. In addition, we look into the process of depositing a dataset in the Leiden University data repository (DataverseNL) and give pointers on how to best prepare your data for archiving already during the active research phase. It is possible to bring your own dataset to work on during the workshop.

Target group

Researchers that aim to publish their research data

Method & content

One session of 2 hours with presentations and activities. Participants will bring their own device to start publishing their research data in a data repository.

Dates & registration

This workshop is offered as part of the program of the CDS Summer Training Week in June and on demand. For any planned workshop dates, see the calendar to the right. For more information or to put in a request for a workshop, please send us an email datamanagement@library.leidenuniv.nl.

Course tutor

Femmy Admiraal

With Linked Open Data (LOD), data is offered in such a way that it is much easier and automatic to connect to other data. This makes the data richer and more useful to the user. This hands-on tutorial introduces the basic principles of LOD, how to create and publish LOD and how to query it using the query language SPARQL. The focus example will be cultural heritage data, but the basic principles are applicable to all type of data modelled as LOD. At the end of this session, you will know the basics about how to create and work with LOD. 

Target group

Researchers and research support staff

Method & content

One session of 2-3 hours with presentations, live demonstrations, and hands-on exercises. Participants need to bring their own device.

Dates & registration

This workshop is offered as part of the program of the DCC Spring Training Days March-June. For any planned workshop dates, see the calendar to the right. For more information, please send us an email datamanagement@library.leidenuniv.nl.

Course tutors

Kristina Hettne and Eva Lekkerkerker (UvA)

We regularly organise other workshops, which are not regularly repeated but available on demand. Examples are workshops on sharing fieldnotes or hard-to-share data beyond personal data. If you are interested in these or other topics related to research data management, please contact us at datamanagement@library.leidenuniv.nl.